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Latent Growth Curve Model (LGC)×কাঠামোগত সমীকরণ মডেলিং (SEM)×
ক্ষেত্রপরিসংখ্যানপরিসংখ্যান
পরিবারLatent structureLatent structure
উদ্ভবের বছর19901970
প্রবর্তকMeredith & TisakKarl Jöreskog (LISREL framework, 1970s)
ধরনLatent variable / longitudinal growth modelLatent variable / causal modeling
মৌলিক উৎসMeredith, W. & Tisak, J. (1990). Latent Curve Analysis. Psychometrika, 55(1), 107–122. DOI ↗Hair, J. F., Black, W. C., Babin, B. J. & Anderson, R. E. (2019). Multivariate Data Analysis (8th ed.). Cengage Learning. ISBN: 978-1473756540
অপর নামlatent growth model, LGC, growth curve model, Gizil Büyüme Eğrisi ModeliYapısal Eşitlik Modellemesi (SEM), structural equation modelling, covariance structure analysis, latent variable modeling
সম্পর্কিত55
সারসংক্ষেপThe latent growth curve model is a structural equation modelling approach introduced by Meredith and Tisak (1990) for analysing change over time. It treats each individual's starting point (intercept) and rate of change (slope) as latent variables, simultaneously estimating the average trajectory across the sample and the extent to which individuals differ in their own trajectories.Structural equation modeling is a multivariate statistical framework that simultaneously estimates a measurement model — relating observed indicators to latent constructs — and a structural model specifying directional or reciprocal relationships among those constructs. Rooted in the LISREL tradition developed by Karl Jöreskog in the 1970s, SEM is the standard tool for testing complex theoretical models in the social, behavioural, and management sciences.
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ScholarGateপদ্ধতির তুলনা করুন: LGC Model · SEM. 2026-06-19 তারিখে সংগৃহীত, উৎস: https://scholargate.app/bn/compare